Analytics
Analytics Dashboard
Live
Distribution Analytics Cut Carrying Costs $320K
A growing electrical distribution company was carrying too much slow-moving inventory while frequently running out of high-demand items. We built a custom analytics platform that optimized reorder points and improved inventory turns by 40%. A custom analytics dashboard showing demand forecasts, recommended reorder points, and ABC classification of inventory. Automated alerts when stock levels hit reorder points. Scenario planning tools to model different safety stock levels and their impact on carrying cost vs. stockout risk. Integration with QuickBooks to pull real-time inventory levels and sales data.
Next.js
PostgreSQL
Python
QuickBooks API
Node.js
Chart.js
Screenshots
Inventory Optimization Dashboard
Purchasing manager's daily view with actionable reorder alerts
Case Study
Overview
A growing electrical distribution company was carrying too much slow-moving inventory while frequently running out of high-demand items. We built a custom analytics platform that optimized reorder points and improved inventory turns by 40%.
The Challenge
Purchasing decisions were based on gut feel and historical Excel reports. The team had no visibility into demand trends, seasonal patterns, or vendor lead time variability. Dead stock was tying up $500K+ in capital while stockouts were costing sales.
The Solution
A custom analytics dashboard showing demand forecasts, recommended reorder points, and ABC classification of inventory. Automated alerts when stock levels hit reorder points. Scenario planning tools to model different safety stock levels and their impact on carrying cost vs. stockout risk. Integration with QuickBooks to pull real-time inventory levels and sales data.
Results
$320K/year
Carrying Cost Savings
Reduction in dead stock and excess inventory
40% improvement
Inventory Turns
From 4.2x to 5.9x annual turns
72% reduction
Stockout Rate
High-demand items now consistently in stock
$45K/year saved
Emergency Order Fees
Fewer expedited shipments needed
“
This dashboard pays for itself every quarter. We're no longer guessing at reorder points, and our cash flow has improved significantly by cutting dead inventory.
Lisa Chen
VP of Finance
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